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MaryaAI/opus-mt-en-ar-finetunedSTEM-v4-en-to-ar
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.0589
- Validation Loss: 5.3227
- Epoch: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.0589 | 5.3227 | 0 |
Framework versions
- Transformers 4.17.0.dev0
- TensorFlow 2.7.0
- Datasets 1.18.3.dev0
- Tokenizers 0.10.3
- Downloads last month
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MaryaAI/opus-mt-en-ar-finetunedSTEM-v4-en-to-ar") model = AutoModelForSeq2SeqLM.from_pretrained("MaryaAI/opus-mt-en-ar-finetunedSTEM-v4-en-to-ar", device_map="auto")